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More Sustainable Aquaculture

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More Sustainable Aquaculture

Along with the rapid development of the domestic aquaculture industry, aquaculture has increased year by year, which has become one of the major sectors for agricultural economic growth. However, in the monitoring of aquaculture water quality and security, most farmers still adopt traditional farming models that rely too much on experience, making scientific judgments on water quality and environmental changes. Thanks to LoRaWAN and cellular technology’s rapid development, we provide a smart solution for aquaculture water quality and security monitoring to create tightly controlled and sustainable growth conditions.

Nowadays, most industrial aquaculture water quality and security monitoring use Zigbee, Wi-Fi, GPRS, and other wireless communication technologies. Still, for pond aquaculture with large monitoring area, there are shortcomings.

  • Short communication distance
  • Poor anti-interference
  • High power consumption
  • Separate management platforms

Echolo has all the tools necessary to monitor and manage your fish farming operation effectively. The EL UC11-N1 sensor node connects with multiple traditional sensors like electrical conductivity sensor, PH sensor, fluorescent dissolved oxygen sensor through the RS485 industrial interface. These instruments allow for a quick check of water quality, while the IP cameras can aid in process control for your entire facility. If necessary, the admin can add other sensors such as a water temperature sensor and water transparency sensor to connect with the sensor node.

The EL EM500-UDL, ultrasonic level sensor, is a LoRaWAN based device that senses water level. Data is then directly submitted to the Hub over LoRaWAN. The low-power aquaculture water quality monitoring system is based on LoRa, which means you can expect up 10 miles of coverage in a rural environment with an outdoor Hub. In comparison, in the urban areas, it can reach beyond 1.5 miles. 

The pond water can be effectively managed to provide the most suitable environment for fish. For example, the water’s dissolved oxygen value should be more than 3mg/L for fish; otherwise, fish would stop eating and thus stop growing.

You can attach video surveillance cameras in the breeding area to realize and utilize remote real-time monitoring, regular snapshots, video storage, and playback. This surveillance system can carry out 24 by seven monitoring of the aquaculture area, which guarantees the safe Production in the field and improves the farmers’ work efficiency and management level.

The EL UR32 industrial cellular router with dual-SIM plays a significant role in this solution that provides Internet and power for both Hubs and cameras through RJ45 PoE ports. 


  1. Visualized Aquaculture Management
    It monitors the PH value, dissolved oxygen, and water level in the pond. It presents Ursalink Cloud data that can be viewed simultaneously, providing admin with real-time and highly accurate data.
  2. Wireless Deployment
    LoRaWAN wireless sensing method and 4G cellular network save the trouble of wiring in the entire facility.
  3. Low Power Consumption
    Low power consumption technology ensures a long duration of the sensor node. Multiple sensors can be supported simultaneously in this facility.
  4. Safe Production
    The surveillance cameras in the breeding area can remotely view the on-site situation in real-time to ensure safe Production.

The entire solution has comprehensive functions, real-time performance, and high accuracy of data, which is a practical value to promote intelligent, intensive, and information-based aquaculture.

Greg Winn

Greg is a highly qualified software engineer and expert in big data, with extensive experience in the development of guidance and avoidance systems for high-powered rockets. A veteran of the Air Force, he has spent over a decade at the National Association of Rocketry and has also worked in the online gaming industry. In 2002, Greg founded, a community site for the NovaLogic video game Delta Force, which was later acquired by Playnet Inc. He has since launched several web platforms and SaaS products, including Cignal, a big data Twitter sentiment analysis and predictive tool. Greg has worked with leading companies and organizations such as NASA, Ackerman & McQueen,, and the NRA, gaining a reputation as an authority on how to create and scale world-class software products with startup development teams. His expertise in software engineering, hardware engineering, and big data make him a valuable asset to Echolo's IoT products and roadmap.

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